APF-IRRT*: An Improved Informed Rapidly-Exploring Random Trees-Star Algorithm by Introducing Artificial Potential Field Method for Mobile Robot Path Planning

نویسندگان

چکیده

An Informed RRT* (IRRT*) algorithm is one of the optimized versions a Rapidly-exploring Random Trees (RRT) which finds near-optimal solutions faster than RRT and algorithms by restricting search area to an ellipsoidal subset state space. However, IRRT* has disadvantage randomness sampling non-real time process, negative impact on convergence rate efficiency in path planning applications. In this paper, we report hybrid combining Artificial Potential Field Method (APF) with for mobile robot planning. By introducing virtual force field APF into tree expansion stage algorithm, guidance increases, greatly improves algorithm. The proposed was validated simulations proven be superior some other RRT-based length. It also performed real robotic platform, shows that can well executed scenarios.

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ژورنال

عنوان ژورنال: Applied sciences

سال: 2022

ISSN: ['2076-3417']

DOI: https://doi.org/10.3390/app122110905